{"id":"W2916571996","doi":"10.2196/12985","title":"Short Message Service Text Message Support for Weight Loss in Patients With Prediabetes: Pragmatic Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prediabetes; Glycated hemoglobin; Medicine; Weight loss; Randomized controlled trial; Diabetes mellitus; Demography; Gerontology; Type 2 diabetes; Obesity; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001246297,0.000382692,0.0008295299,0.0002409144,0.0004177828,0.00001620026,0.0004278799,0.0004143265,0.0009444423],"category_scores_gemma":[0.0001184502,0.0003088789,0.0000860252,0.0006505843,0.00004647746,0.0003205618,0.0001094013,0.000684148,0.000757246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260833,"about_ca_system_score_gemma":0.0007995354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001561025,"about_ca_topic_score_gemma":0.0001191407,"domain_scores_codex":[0.9954801,0.0003348959,0.001329781,0.0007233765,0.000484148,0.001647661],"domain_scores_gemma":[0.9964122,0.001321135,0.000445838,0.0009213407,0.0003935515,0.0005059378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002338731,0.0006535558,0.9785426,0.004551761,0.0000318969,2.974085e-7,0.0006337129,0.000004593523,0.00001298513,0.0006083457,0.00892401,0.003697545],"study_design_scores_gemma":[0.06747347,0.001575142,0.7377659,0.0008612694,0.00006724825,5.371997e-8,0.0002607453,0.0004089044,0.00002695407,0.0004988997,0.19049,0.0005714229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567304,0.00006016243,0.00001700474,0.001220529,0.0006723109,0.03642815,0.0003630922,0.000172836,0.004335553],"genre_scores_gemma":[0.9037998,0.00002204257,0.0004904009,0.003924624,0.0003328221,0.08884816,0.001002937,0.0001100425,0.001469189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2407766,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490055203208167,"score_gpt":0.3454100134649378,"score_spread":0.3305094614328561,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}